I have been long arguing that a world model is NOT about generating videos, but IS about simulating all possibilities of the world to serve as a sandbox for general-purpose reasoning via thought-experiments. This paper proposes an architecture toward that
Eric Xing
536 posts
Researcher, educator, entrepreneur, and administrator in computer science, artificial intelligence, and healthcare.
San Francisco, CA
Joined May 2010
- Can computer vision via DL understand the what is in a blank piece of paper? Can NLP via DL understand the sound of silence? Should AI be used to tack and lock down free people ?
- As we prepare to launch K2 Think — the world’s most powerful open-source model for reasoning — I want to extend my deepest gratitude to @MohamedBinZayed HH Sheikh Mohamed bin Zayed Al Nahyan for his endorsement of the launch, and …
- Well said. AI extinctionism is neither a weighted consensus from the majority of AI researchers, nor a well founded hypothesis supported by facts and rigorous reasoning. On the contrary, I found AI extinctionism extremely unscientific and exaggerating.Replying to @geoffreyhintonI'd like to respectfully point out that the logic in this argument is based on a flawed model for how scientists think. Scientists don't just take a weighted average of others' opinions to form their own. A good scientist takes as input lots of data, including others' opinions,
- Great to meet @demishassabis today at @mbzuai to introduce to him our university and discuss a wide range of topics from world model to virtual cell and find lots of common grounds. In sync regarding WM toward simulating all possibilities not just pixels and GLP vs. JEPA; and
- Hello world again! I decided to re-enter the Twitter world after 10 years of silence. Happy to get connected!
- LLM360: Towards Fully Transparent Open-Source LLMs paper page: huggingface.co/papers/2312.06… @AurickQ, @willieneis, @HongyiWang10, @BowenTan8, @ZhitingHu, @preslav_nakov, @mbzuai , @PetuumInc , @Meta @MistralAI @huggingface arxiv.org/pdf/2312.06550…
- Indeed a very important nuance many people fail to grasp: generating seemingly interesting content in text or video does not mean (and need) it “understand” what it generates. An agent model that can reason based on understanding must go beyond LLMs or DMsLet me clear a *huge* misunderstanding here. The generation of mostly realistic-looking videos from prompts *does not* indicate that a system understands the physical world. Generation is very different from causal prediction from a world model. The space of plausible videos is
- My recent talk at CMU where I summarized our work on developing principled approaches toward optimal/autonomous config of AI solutions at ALL Levels - data harmonization, model composition, learning to learn, scalable computing, and infra orchestration. youtu.be/dmjMnoDkqnU
- A CMU reunion in the dessert of Abu Dhabi, a priceless picture! Left to right: Le Song, Eric Xing, Takeo Kanade, Raj and Anu Reddy, Xuedong Huang, Tom Mitchell, Justine Cassell, and Oren Etzioni
- Congratulations to Argentina! I have watched 10 world cups since 1982, this one might be the best final.
00:00 - Our paper "Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning" wins the Jay Lepreau Best Paper Award at OSDI’21!
- Great to meet @sama again today in Abu Dhabi to discuss global collaboration on making #superintelligence a reality built on all knowledge in all civilizations. Look forward to working with him to bringing out more powerful, useful, and safe AI. #MBZUAI










